Virtual parent‐led peer support groups for parents of children with eating disorders: A mixed methods feasibility study
Bibliographic record
Abstract
OBJECTIVE: To examine the feasibility of a virtual parent-led peer support group (vPLPSG) intervention for parents of children with eating disorders (EDs). METHODS: Forty-four parents were invited to attend 2-h-long vPLPSG sessions every other week for 6 months. A convergent mixed methods design was used to integrate quantitative survey data (collected at three timepoints and analyzed using repeated measures ANOVA) and qualitative interview data (collected at 6 months and analyzed using content analysis) to assess intervention feasibility. Feasibility was comprised of acceptability (e.g., recruitment and retention rates, desire to continue attending the groups) and preliminary effectiveness (e.g., change in parents' self-reported burden). RESULTS: The recruitment rate (67%), retention rate (77%), and attendance rate (60%) demonstrated adequate acceptability. All parents expressed their recommendation of this group to other parents, and most wanted to continue attending vPLPSG sessions. Participants qualitatively reported less isolation and burden as well as improvements in skills and confidence to manage their child's symptoms. These preliminary effectiveness findings were corroborated by quantitative data, with participants reporting a significant decrease in burden [mean difference (MD) = 6.61; p < .004], increase in confidence (MD = 11.17; p < .001), and decrease in unmet needs (MD = 5.03; p < .001) from baseline to 6-months. DISCUSSION: The vPLPSG intervention demonstrated feasibility with respect to acceptability and improvements in preliminary parental outcomes. Future research should evaluate the effectiveness of this intervention using a larger, more diverse sample. PUBLIC SIGNIFICANCE: Dedicated efforts to support caregivers, such as through virtual parent-led peer support groups, have the potential to increase confidence and decrease burden for parents managing their child's eating disorder.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".